Running AI MCP Tools on Kubernetes with kagent
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Running AI MCP Tools on Kubernetes with kagent

Bret and Nirmal explore AI agents in Kubernetes with Eitan Yarmush, Senior Architect at Solo.io. Eitan explains how AI agents work through three simple components (system prompts, LLMs, and tools), and demonstrates the kagent project, which provides a Kubernetes-native way to deploy and manage AI workflows.

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Also in this episode, we cover the Model Context Protocol (MCP), which standardizes how agents communicate with external tools, along with practical use cases like incident response, debugging workflows, and CI/CD integration. Eitan shows how to create an agent through a web interface.

We also address the challenges including security concerns (MCP lacks built-in security standards), cost considerations, and technical limitations like context window constraints.

Check out the video podcast version here: https://youtu.be/JTTqG5SOpWY

  • (00:00) - Intro
  • (04:36) - Hype vs Reality
  • (06:28) - Incident Response and Debugging
  • (09:46) - Defining Agents and MCP
  • (15:33) - Where Do You Run Agents?
  • (18:37) - What Problem does kagent Solve?
  • (29:05) - Authentication and Tool Limitations

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Episode Video

Creators and Guests

Bret Fisher
Host
Bret Fisher
Cloud native DevOps Dude. Course creator, YouTuber, Podcaster. Docker Captain and CNCF Ambassador. People person who spends too much time in front of a computer.
Nirmal Mehta
Host
Nirmal Mehta
Principal Specialist Solutions Architect at Amazon Web Services (AWS)
Beth Fisher
Producer
Beth Fisher
Producer of the DevOps and Docker Talk and Agentic DevOps podcasts. Assistant producer on Bret Fisher Live show on YouTube. Business and proposal writer by trade.
Cristi Cotovan
Editor
Cristi Cotovan
Video editor and educational content producer. Descript, Camtasia and Riverside coach.
Eitan Yarmush
Guest
Eitan Yarmush
Software engineer currently working at Solo.io